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Riccardo De Bin

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Professor

University of Oslo

Norway

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Professors in Norway Professors in Statistics Statistics professors in Norway

About

Riccardo De Bin is an Associate Professor at the University of Oslo, Norway. His research areas encompass statistical modeling and machine learning, with a focus on high-dimensional biomedical data, survival analysis, and the statistical practice in publication bias. Recent contributions include innovative models for lifetime analysis and state of health monitoring of lithium-ion batteries, as well as methods to improve variable selection in multivariable models.

Recent Grants

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Advanced statistical methods for complex biomedical data structures

Open Date: 2018-01-01

Close Date: 2019-12-31

Articles (13)

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Collaborators (16)

Umlauf Nikolaus

Full Professor (Univ.-Prof.) of Computational Statistics

University of Innsbruck

AUSTRIA

Riccardo De Bin

Research Interests

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About

Recent Grants

Articles (13)

Discussion on: Shape constrained additive smooth models by Simon N. Wood

Commentary: Regression Models—Efforts Are Required to Improve Statistical Practice and Teaching

Lifetime analysis with monotonic degradation: a boosted first hitting time model based on a homogeneous gamma process

Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges

Deep learning metal complex properties with natural quantum graphs

A boosting first-hitting-time model for survival analysis in high-dimensional settings

Modelling publication bias and p‐hacking

A novel semi-supervised learning approach for State of Health monitoring of maritime lithium-ion batteries

Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling.

Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models.

Machine learning dihydrogen activation in the chemical space surrounding Vaska's complex

On the asymptotic behaviour of the variance estimator of a U-statistic

Predicting time to graduation at a large enrollment American university

Collaborators (16)

Umlauf Nikolaus

Daniela Dunkler

Simon Wood

Jörg Rahnenführer

Thomas Pedersen

Harald Binder

Thomas Kneib

David Balcells

Stefan Michiels

Rosa M. Crujeiras

Maria Durban

Marianne Huebner

Willi Sauerbrei

Irène Gijbels

Erik Vanem

Federico Ambrogi

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